Reinforcement Learning with Game Datasets

[ShaikArshidBanu]

Description: Develop a reinforcement learning model focused on training agents to play games using existing game datasets available on platforms like Kaggle. The project will demonstrate the application of reinforcement learning techniques in gaming scenarios.

Motivation: Training agents to play games autonomously showcases the capabilities of reinforcement learning algorithms and their ability to learn and improve strategies over time. Using publicly available game datasets adds real-world complexity and diversity to the training process.

Expected Outcome: Trained reinforcement learning agents capable of playing games using existing game datasets, demonstrating learning capabilities and strategic decision-making.

@sanjay-kv I would like to work on this issue under GSSOC'24 label.

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